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RE: st: finding means and percentiles with mim


From   "Lachenbruch, Peter" <Peter.Lachenbruch@oregonstate.edu>
To   "'statalist@hsphsun2.harvard.edu'" <statalist@hsphsun2.harvard.edu>
Subject   RE: st: finding means and percentiles with mim
Date   Wed, 24 Mar 2010 12:05:39 -0700

Amazing what a little thinking can do - the command qreg is supported by mim, so I think I can use it.

Tony

Peter A. Lachenbruch
Department of Public Health
Oregon State University
Corvallis, OR 97330
Phone: 541-737-3832
FAX: 541-737-4001


-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Lachenbruch, Peter
Sent: Wednesday, March 24, 2010 12:03 PM
To: 'statalist@hsphsun2.harvard.edu'
Subject: RE: st: finding means and percentiles with mim

Presumably one could use Rubin's rules to combine these.  It would be a bit of a pain to do unless automated.  I'll take a look.

Tony

Peter A. Lachenbruch
Department of Public Health
Oregon State University
Corvallis, OR 97330
Phone: 541-737-3832
FAX: 541-737-4001


-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Steve Samuels
Sent: Wednesday, March 24, 2010 11:14 AM
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: finding means and percentiles with mim

Here's a simple-minded idea, Tony: run -centile- on each imputation,
and get a "confidence interval" from  extremes (or averages) of the
lower and upper confidence limits .  I have no idea of what the
properties of this approach would be.

Steve


On Wed, Mar 24, 2010 at 1:21 PM, Lachenbruch, Peter
<Peter.Lachenbruch@oregonstate.edu> wrote:
> I have obtained an ice imputation on 5 variables and want to find the mean and 10, 25, 50, 75, and 90 percentiles.  I have done this for means by using a regress lck with no predictor variables.  I can't figure out how to do this for percentiles.  Mim doesn't support centile nor summarize, or am I missing something.  Anyone have a bright idea to help me?
>
> Tony
>
> Peter A. Lachenbruch
> Department of Public Health
> Oregon State University
> Corvallis, OR 97330
> Phone: 541-737-3832
> FAX: 541-737-4001
>
>
>
> *
> *   For searches and help try:
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> *   http://www.ats.ucla.edu/stat/stata/
>



-- 
Steven Samuels
sjsamuels@gmail.com
18 Cantine's Island
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USA
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